Learning Algorithms – alle Bücher, Seite 2

Federated Learning for Digital Healthcare Systems

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Decision-Making Models

Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic…

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Taeho Jo
Deep Learning Foundations

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The fir…

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EUR 117,33*

Deep Ray, Assad A. Oberai, Orazio Pinti
Deep Learning and Computational Physics

The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms a…

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EUR 85,33*

Practical Machine Learning Tools and Techniques for Industrial Applications

The main goal of the book is to provide a comprehensive and accessible guide that empowers readers to understand, apply, and leverage machine learning algorithms and techniques effectively in real-world s…

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EUR 251,97*

Xavier Vasques
Machine Learning Theory and Applications

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Machine Learning and Deep Learning in Computational Toxicology

Computational Methods in Engineering & the Sciences

This book is a collection of machine learning and deep learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a s…

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Deep Learning for Cognitive Computing Systems

Smart Computing Applications, 7

Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improve…

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Jeff Edmonds
How to Think about Algorithms

"The second edition of this student-friendly textbook now includes over 150 new exercises, key concept summaries and a chapter on machine learning algorithms. Its approachability and clarity make it ideal…

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Jeff Edmonds
How to Think about Algorithms

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Ronald T. Kneusel
The Art of Randomness: Using Randomized Algorithms in the Real-World

"The Art of Randomness teaches readers to harness the power of randomness (and Python code) to solve real-world problems in programming, science, and art through hands-on experiments-from simulating evolu…

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Theoretical Aspects of Computing - ICTAC 2024

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Artificial Neural Networks in Pattern Recognition

Lecture Notes in Artificial Intelligence -Band 15154

This book constitutes the refereed proceedings of the 11th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2024, held in Montreal, QC, Canada, during October 10 12, 2024. Th…

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Ali Asghar Firoozi, Ali Akbar Firoozi
Revolutionizing Civil Engineering with Neuromorphic Computing

Digital Innovations in Architecture, Engineering and Construction

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Floyd Erol Schulze
Hey Computer!

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Matthias Schonlau
Applied Statistical Learning

Statistics and Computing

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Azhar Ul Haque Sario
Stock Price Predictions

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Maya
Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More

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Zhongguo Li, Zhengtao Ding
Distributed Optimization and Learning

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Akash Kumar, Salim Ullah
Approximate Arithmetic Circuit Architectures for FPGA-based Systems

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